我有两个表:标准和服务产品.一个标准可以有多个服务产品.每个标准可以关联不同数量的服务产品.
I have two tables: Standards and Service Offerings. A Standard can have multiple Service Offerings. Each Standard can have a different number of Service Offerings associated to it.
我需要做的是编写一个视图,该视图将返回一些常见数据,然后在一行中列出服务产品.例如:
What I need to be able to do is write a view that will return some common data and then list the service offerings on one line. For example:
Standard Id | Description | SO #1 | SO #2 | SO #3 | ... | SO #21 | SO Count
1 | One | A | B | C | ... | G | 21
2 | Two | A | | | ... | | 1
3 | Three | B | D | E | ... | | 3
我不知道如何写这个.SO 列的数量设置为特定数量(在本例中为 21),因此我们不能超过该数量.
I have no idea how to write this. The number of SO columns is set to a specific number (21 in this case), so we cannot exceed past that.
关于如何解决这个问题的任何想法?
Any ideas on how to approach this?
我开始的地方在下面.当需要在一行上时,它只是为每个服务产品返回多行.
A place I started is below. It just returned multiple rows for each Service Offering, when they need to be on one row.
SELECT *
FROM SERVICE_OFFERINGS
WHERE STANDARD_KEY IN (SELECT STANDARD_KEY
FROM STANDARDS)
附加 SQL
这里是我拥有的 SQL,它返回我想要的所有内容,但由于有 11 个服务产品,将返回 11 行.我一直在尝试数据透视表,但似乎无法解决这个问题.有人可以帮忙提供代码示例吗?
So here is the SQL I have that returns everything that I want, but will return 11 rows due to there being 11 Service Offerings. I have been trying the pivot table and can't seem to figure it out with this. Can someone help with a code example?
SELECT DISTINCT stpc.standard_key,
stpc.test_id,
NULL AS pricebook_id,
stpc.stabdard_name AS description,
stpc.date_start AS begin_date,
stpc.date_end AS end_date,
sopd.service_offering_id
FROM STANDARDS stpc,
SERVICE_OFFERINGS sopd
WHERE 1=1
AND sopd.standard_key = stpc.standard_key
ORDER BY stpc.standard_key, sopd.service_offering_id
更新
由于数据库不假设 PIVOT 表(并且无法找出 XML 建议),我不得不执行一些棘手的 SQL 以使其工作.这是我使用的:
Since the database does not suppose PIVOT tables (and couldn't figure out the XML suggestion), I had to do a little tricky SQL to get it to work. Here is what I used:
select stpc.oracle_product_code AS test_id,
CASE WHEN stpc.store_key = 200 THEN 'CE_USAUSD09'
WHEN stpc.store_key = 210 THEN 'CE_CANCAD09' END AS pricebook_id,
stpc.standard_name AS its_test_desc,
CONVERT(VARCHAR(10), stpc.date_start, 101) AS begin_date,
CONVERT(VARCHAR(10), stpc.date_end, 101) AS end_date,
MAX(CASE WHEN rn = 1 THEN b.service_offering_id END) AS SERVICE_OFFERING_1,
MAX(CASE WHEN rn = 2 THEN b.service_offering_id END) AS SERVICE_OFFERING_2,
MAX(CASE WHEN rn = 3 THEN b.service_offering_id END) AS SERVICE_OFFERING_3,
MAX(CASE WHEN rn = 4 THEN b.service_offering_id END) AS SERVICE_OFFERING_4,
MAX(CASE WHEN rn = 5 THEN b.service_offering_id END) AS SERVICE_OFFERING_5,
MAX(CASE WHEN rn = 6 THEN b.service_offering_id END) AS SERVICE_OFFERING_6,
MAX(CASE WHEN rn = 7 THEN b.service_offering_id END) AS SERVICE_OFFERING_7,
MAX(CASE WHEN rn = 8 THEN b.service_offering_id END) AS SERVICE_OFFERING_8,
MAX(CASE WHEN rn = 9 THEN b.service_offering_id END) AS SERVICE_OFFERING_9,
MAX(CASE WHEN rn = 10 THEN b.service_offering_id END) AS SERVICE_OFFERING_10,
MAX(CASE WHEN rn = 11 THEN b.service_offering_id END) AS SERVICE_OFFERING_11,
MAX(CASE WHEN rn = 12 THEN b.service_offering_id END) AS SERVICE_OFFERING_12,
MAX(CASE WHEN rn = 13 THEN b.service_offering_id END) AS SERVICE_OFFERING_13,
MAX(CASE WHEN rn = 14 THEN b.service_offering_id END) AS SERVICE_OFFERING_14,
MAX(CASE WHEN rn = 15 THEN b.service_offering_id END) AS SERVICE_OFFERING_15,
MAX(CASE WHEN rn = 16 THEN b.service_offering_id END) AS SERVICE_OFFERING_16,
MAX(CASE WHEN rn = 17 THEN b.service_offering_id END) AS SERVICE_OFFERING_17,
MAX(CASE WHEN rn = 18 THEN b.service_offering_id END) AS SERVICE_OFFERING_18,
MAX(CASE WHEN rn = 19 THEN b.service_offering_id END) AS SERVICE_OFFERING_19,
MAX(CASE WHEN rn = 20 THEN b.service_offering_id END) AS SERVICE_OFFERING_20,
MAX(CASE WHEN rn = 21 THEN b.service_offering_id END) AS SERVICE_OFFERING_21,
MAX(rn) AS service_offering_count
FROM (
select standard_key,
service_offering_id,
row_number() over (partition by standard_key order by standard_key) rn
from SERVICE_OFFERINGS
) B,
SERVICE_OFFERINGS sopd,
STANDARDS stpc
where b.service_offering_id = sopd.service_offering_id
AND b.standard_key = stpc.standard_key
AND sopd.standard_key = stpc.standard_key
AND stpc.store_key IN (200,210)
AND stpc.create_date > '03/29/2010'
group by stpc.oracle_product_code,stpc.store_key,stpc.standard_name,stpc.date_start,stpc.date_end
您可以为此使用 PIVOT 功能.
You can use the PIVOT functionality for this.
查看 http://archive.msdn.microsoft.com/SQLExamples/Wiki/View.aspx?title=PIVOTData
Check out http://archive.msdn.microsoft.com/SQLExamples/Wiki/View.aspx?title=PIVOTData
您应该使用 FOR XML 和 SplitToColumns 的组合来代替 PIVOT.
Instead of PIVOT, you should use a combination of FOR XML and SplitToColumns.
使用 FOR XML
并将您的产品转出到单列 在 Transact-SQL 中连接行值
Use FOR XML
and pivot out your Offerings to a single column Concatenating Row Values in Transact-SQL
然后使用 CTE 样式函数将单个单元格分解为列,如下所示 http://www.sqlservercentral.com/articles/CTE/67974/
Then use a CTE style function to break down a single cell into columns as shown here http://www.sqlservercentral.com/articles/CTE/67974/
这将为您提供一个以您需要的方式旋转的表格.
This will give you a table pivotted out in the fashion that you need.
然后进行算术运算以获得非空列的计数,最后得到所需的计数.
Then do arithmetic to get a count of non-null columns and you have the count you need at the end.
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